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Lasso-type recovery of sparse representations for high-dimensional data

Lasso-type recovery of sparse representations for high-dimensional data

1 June 2008
N. Meinshausen
Bin Yu
ArXivPDFHTML

Papers citing "Lasso-type recovery of sparse representations for high-dimensional data"

4 / 4 papers shown
Title
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination
Jingfu Peng
MoMe
28
0
0
05 May 2025
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery
  in Signal Processing, Statistics, and Machine Learning
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Fei Wen
L. Chu
Peilin Liu
Robert C. Qiu
8
151
0
16 Aug 2018
Variable selection in nonparametric additive models
Variable selection in nonparametric additive models
Jian Huang
J. Horowitz
Fengrong Wei
81
547
0
20 Oct 2010
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
172
738
0
04 Apr 2008
1